The third course in the five-part series, ‘Structuring Machine Learning Projects,’ focuses on tactical approaches to optimize and refine trained models. This module encompasses iterative steps, including the evaluation and optimization phases, defining train/dev/test sets and adapting to their changes, and analyzing and improving performance through meticulous error analysis and addressing mismatches.